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Head-to-head comparison

GPT-5.4 Nano vs Qwen3 235B A22B Instruct 2507

GPT-5.4 Nano (OpenAI) and Qwen3 235B A22B Instruct 2507 (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 17 August 2026

As of 17 August 2026, GPT-5.4 Nano holds the stronger ModelCap Index position (#46 vs #49); Qwen3 235B A22B Instruct 2507 is 2.3× cheaper per output token ($0.55/1M vs $1.25/1M); GPT-5.4 Nano offers the longer context window (400K vs 262K tokens); and Qwen3 235B A22B Instruct 2507 ships open weights.

Which should you choose?

Choose GPT-5.4 Nano if…

  • you want the stronger overall ModelCap Index position — #46 against #49 (52.1 vs 50.4 points).
  • you need the longer context window — 400K tokens against 262K.
  • Artificial Analysis Intelligence Index is your yardstick — 39.7 against 18.4.
  • you want the more recently listed model — GPT-5.4 Nano was listed 17 March 2026, Qwen3 235B A22B Instruct 2507 21 July 2025.

Choose Qwen3 235B A22B Instruct 2507 if…

  • API cost matters — $0.55/1M output tokens against $1.25/1M, about 2.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.09/1M against $0.20/1M.
  • you want to self-host: Qwen3 235B A22B Instruct 2507 ships open weights while GPT-5.4 Nano is api only.
  • you want provider choice — 9 listed API providers against 2.
  • Arena coding is your yardstick — 1472 against 1460.

GPT-5.4 Nano vs Qwen3 235B A22B Instruct 2507: specs, pricing and context

Specification comparison of GPT-5.4 Nano and Qwen3 235B A22B Instruct 2507
FieldGPT-5.4 NanoOpenAIQwen3 235B A22B Instruct 2507Qwen
ModelCap Index position#46#49
Index score52.150.4
EvidenceMeasuredMeasured
Input price / 1M tokens$0.20$0.09
Output price / 1M tokens$1.25$0.55
Context window400K tokens262K tokens
Max output tokens128K16K
API providers listed29
Weight accessAPI onlyOpen weights
Input modalitiesFile, Image, TextText
First listed17 March 202621 July 2025
PublisherOpenAIQwen

Evidence: 4 public benchmark observations across 4 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.4 Nano vs Qwen3 235B A22B Instruct 2507

Public benchmark boards where GPT-5.4 Nano or Qwen3 235B A22B Instruct 2507 has a published result
BoardGPT-5.4 NanoQwen3 235B A22B Instruct 2507Leads
Arena codingArena (LMArena)14601454–1466High14721468–1477Qwen3 235B A22B Instruct 2507
ARC-AGI-2ARC Prize Foundation5.7%X-High—Only one result
BFCL V4UC Berkeley (Gorilla)—52.2PromptOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis39.7intelligence-index18.4intelligence-indexGPT-5.4 Nano

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-5.4 Nano vs Qwen3 235B A22B Instruct 2507: common questions

Is GPT-5.4 Nano better than Qwen3 235B A22B Instruct 2507?

GPT-5.4 Nano ranks higher on the ModelCap Index as of 17 August 2026: #46 against #49. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-5.4 Nano cheaper than Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 is cheaper on output tokens: $0.55/1M against $1.25/1M. Input tokens are $0.20/1M for GPT-5.4 Nano and $0.09/1M for Qwen3 235B A22B Instruct 2507. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 235B A22B Instruct 2507?

GPT-5.4 Nano has the larger context window: 400K tokens against 262K.

Which is better for coding, GPT-5.4 Nano or Qwen3 235B A22B Instruct 2507?

Arena coding: GPT-5.4 Nano 1460, Qwen3 235B A22B Instruct 2507 1472 — Qwen3 235B A22B Instruct 2507 leads.

Are GPT-5.4 Nano and Qwen3 235B A22B Instruct 2507 open-weight models?

GPT-5.4 Nano: API only. Qwen3 235B A22B Instruct 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-5.4 Nano and Qwen3 235B A22B Instruct 2507?

ModelCap currently lists 2 API providers for GPT-5.4 Nano and 9 for Qwen3 235B A22B Instruct 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.4 Nano vs Qwen3 235B A22B Instruct 2507 comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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